voided-org/deepkit-ml

The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.

40
/ 100
Emerging

Deepkit helps machine learning engineers and data scientists efficiently manage their model training. It allows you to run machine learning experiments locally or on cloud servers, track all your metrics and outputs, and then easily compare different experiment runs side-by-side. You input your experiment definitions and training code, and it provides real-time logs, performance metrics, model weights, and other artifacts.

384 stars. No commits in the last 6 months.

Use this if you are an ML engineer or data scientist who needs a centralized way to execute, monitor, and compare numerous machine learning experiments and manage your training servers.

Not ideal if you are looking for a platform that helps you build or deploy machine learning models, rather than track their development.

machine-learning-engineering data-science experiment-tracking model-training MLOps
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

384

Forks

27

Language

TypeScript

License

MIT

Category

ml-model-serving

Last pushed

Apr 05, 2023

Commits (30d)

0

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